Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in farm animal species and in other species that provide novel and/or relevant insights into the genetics of farm animals. Read more.
Aims and scope
Announcing our expansion in scope
Historically Genetics Selection Evolution has been focused on publishing studies based on genetic and genomic data, but with vast increases in the spectrum of other -omic data and fast evolving statistical and computing technologies, we are extending our scope to also support contributions on other -omic data and the use of biotechnology in animal breeding.
Please see here for a full description of our journal scope. We would like to emphasize that contributions must include statements on the relevance of the work to the broader readership of the journal.
© Sergey Nivens
Articles
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Gut microbiota and host genetics contribute to the phenotypic variation of digestive and feed efficiency traits in growing pigs fed a conventional and a high fiber diet
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Origin, evolution, and tissue-specific functions of the porcine repetitive element 1
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Analysis of the causal structure of traits involved in sow lactation feed efficiency
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On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young
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A review on SNP and other types of molecular markers and their use in animal genetics
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Ancient DNA studies: new perspectives on old samples
The Erratum to this article has been published in Genetics Selection Evolution 2013 45:4
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Direct and social genetic parameters for growth and fin damage traits in Atlantic cod (Gadus morhua)
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Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models
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Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits
2019
Retrospective Collection
Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.
Published: 19 November 2019
2018
Thematic Series
Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.
Published: 19 November 2018
2016
Thematic Series
International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.
Published: 29 March 2016
Editors-in-Chief
Didier Boichard, INRAE, France
Mario Calus, Wageningen University, Netherlands
Jack Dekkers, Iowa State University, US
Helene Hayes, INRAE, France
New Thematic Series: Celebrating Rohan Fernando’s contributions to quantitative genetics
On the occasion of Rohan Fernando’s retirement from his position as Professor of Animal Science at Iowa State University, Genetics Selection Evolution is proud to publish a special series of papers by several of Rohan’s collaborators and colleagues (past and present) to honor his important contributions to quantitative genetics, especially to animal breeding. Details are described in the Editorial prepared for the series. Papers will be released as they have successfully completed the standard peer review process.
Organizing Editor: Jack Dekkers , Iowa State University, United States
Read MoreFeatured: MetaGS: an accurate method to impute and combine SNP effects across populations using summary statistics
Jighly et al. demonstrated that MetaGS can replace the mBLUP model when raw data cannot be shared, which can lead to more flexible collaborations compared to the single-trait BLUP model.
Featured: Application of Bayesian genomic prediction methods to genome-wide association analyses
Bayesian genomic prediction methods were developed to simultaneously fit all genotyped markers to a set of available phenotypes for prediction of breeding values for quantitative traits, allowing for differences in the genetic architecture (distribution of marker effects) of traits. These methods also provide a flexible and reliable framework for genome-wide association (GWA) studies. The objective here was to review developments in Bayesian hierarchical and variable selection models for GWA analyses.
Introducing our new Associate Editors
We are delighted to welcome our new Associate Editors. Read here about their expertise and the strength they bring to the board.
Bertrand Bed’Hom
National Museum of Natural History, France
Ingrid David
INRAE, France
Ken G Dodds
AgResearch, New Zealand
Tom Druet
University of Liège, Belgium
Matt Littlejohn
Livestock Improvement Corporation, New Zealand
Al Rae Centre, Massey University, New Zealand
Daniela Lourenco
University of Georgia, US
Hubert Pausch
ETH Zürich, Switzerland
Guosheng Su
Aarhus University, Denmark
About the Editors-in-Chief
INRAE
Didier Boichard
Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.
Wageningen University
Mario Calus
Mario Calus is an associate professor at Animal Breeding and Genomics, Wageningen University, in The Netherlands.
His research in the past fifteen years mainly focused on the scientific development of genomic prediction and selection, and its implementation in collaboration with the breeding industry. More recently, this includes using other omics data in addition to structural genomic variation, to partition phenotypic variance and predict phenotypes.
Iowa State University
Jack Dekkers
Jack Dekkers is a distinguished professor of animal breeding and genetics in the Department of Animal Science at Iowa State University (USA).
His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.
INRAE
Helene Hayes
Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.
Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.
Official journal of
Annual Journal Metrics
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Citation Impact
5.100 - 2-year Impact Factor (2021)
5.236 - 5-year Impact Factor (2021)
1.659 - Source Normalized Impact per Paper (SNIP)
1.107 - SCImago Journal Rank (SJR)Speed
40 days to first decision for all manuscripts (Median)
209 days to first decision for reviewed manuscripts only (Median)Usage
841,056 downloads (2021)
468 Altmetric mentions (2021)